Skip to content

ngohoanhkhoa/Generative_Probabilistic_Alignment_Models

Repository files navigation

Generative_Probabilistic_Alignment_Models

Generative Probabilistic Alignment Models for Words and Subwords: a Systematic Exploration of the Limits and Potentials of Neural Parametrizations

Thèse de doctorat de l'université Paris-Saclay

École doctorale n◦ 580 Sciences et technologies de l’information et de la communication (ED STIC)

Spécialité de doctorat: Informatique

Unité de recherche: Université Paris-Saclay, CNRS, Laboratoire interdisciplinaire des sciences du numérique, 91405, Orsay, France

https://www.theses.fr/2021UPASG014

Word alignment Evaluation App

Graphs for bitext corpora - App

Word Alignments with Subword Tokenization - App

About

Generative Probabilistic Alignment Models for Words and Subwords: a Systematic Exploration of the Limits and Potentials of Neural Parametrizations

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages